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make build_biomass_transport_costs fully optional

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This commit is contained in:
Fabian Neumann 2021-08-04 15:05:37 +02:00
parent dd0ab87dcb
commit ba9be74265
2 changed files with 17 additions and 12 deletions
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11
Snakefile
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@ -180,8 +180,10 @@ rule build_biomass_potentials:
script: 'scripts/build_biomass_potentials.py'
rule build_biomass_transport_costs:
input: "data/biomass/biomass potentials in europe_web rev.pdf"
if config["sector"]["biomass_transport"]:
rule build_biomass_transport_costs:
input:
transport_cost_data="data/biomass/biomass potentials in europe_web rev.pdf"
output:
supply_chain1="resources/biomass_transport_costs_supply_chain1.csv",
supply_chain2="resources/biomass_transport_costs_supply_chain2.csv",
@ -190,6 +192,9 @@ rule build_biomass_transport_costs:
resources: mem_mb=1000
benchmark: "benchmarks/build_biomass_transport_costs"
script: 'scripts/build_biomass_transport_costs.py'
build_biomass_transport_costs_output = rules.build_biomass_transport_costs.output
else:
build_biomass_transport_costs_output = {}
rule build_ammonia_production:
@ -336,7 +341,6 @@ rule prepare_sector_network:
traffic_data_KFZ="data/emobility/KFZ__count",
traffic_data_Pkw="data/emobility/Pkw__count",
biomass_potentials='resources/biomass_potentials.csv',
biomass_transport="resources/biomass_transport_costs.csv",
heat_profile="data/heat_load_profile_BDEW.csv",
costs=CDIR + "costs_{planning_horizons}.csv",
profile_offwind_ac=pypsaeur("resources/profile_offwind-ac.nc"),
@ -366,6 +370,7 @@ rule prepare_sector_network:
solar_thermal_urban="resources/solar_thermal_urban_elec_s{simpl}_{clusters}.nc",
solar_thermal_rural="resources/solar_thermal_rural_elec_s{simpl}_{clusters}.nc",
**build_retro_cost_output
**build_biomass_transport_costs_output
output: RDIR + '/prenetworks/elec_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{planning_horizons}.nc'
threads: 1
resources: mem_mb=2000

2
scripts/build_biomass_transport_costs.py
View File

@ -22,7 +22,7 @@ ENERGY_CONTENT = 4.8 # unit MWh/tonne (assuming wood pellets)
def build_biomass_transport_costs():
df_list = tbl.read_pdf(
snakemake.input[0],
snakemake.input.transport_cost_data,
pages="145-147",
multiple_tables=True,
)